Social and Behavioral Sciences Commons^™

Alone In The Lone Star State: How A Lack Of Centralized Public Defender Offices Fails Rural Indigent Defendants, Aiden Park

University of Michigan Journal of Law Reform

The criminal justice system is stacked against indigent defendants. The disadvantages indigent defendants face are exacerbated when mixed with the unique qualities of rural America.

For instance, rural court-assigned attorneys are often picked through ad hoc systems by the very judges these attorneys must appear in front of, creating a judicial conflict of interest. The financial realities of rural public defense work often force counsel to manage a private practice while also balancing court-appointed cases. To the extent integral resources like investigators or experts are present in rural spaces, they are seldom used. This Note highlights the way Texas organizes …

Weathering State And Local Budget Storms: Fiscal Federalism With An Uncooperative Congress, David Gamage, Darien Shanske, Gladriel Shobe, Adam Thimmesch

University of Michigan Journal of Law Reform

Throughout most of 2020, state and local governments faced severe budget crises as a result of the COVID-19 pandemic. Increased demand for state welfare services and rising state expenses related to controlling the spread of COVID-19 stretched state and local budgets to their breaking points. At the same time, layoffs, business closures, and social distancing measures reduced states’ primary sources of tax revenues. The traditional practice of American fiscal federalism is for the federal government to step in to provide aid during a national emergency of this magnitude, because state and local governments lack the federal government’s monetary and fiscal …

Suspect Development Systems: Databasing Marginality And Enforcing Discipline, Rashida Richardson, Amba Kak

University of Michigan Journal of Law Reform

Algorithmic accountability law—focused on the regulation of data-driven systems like artificial intelligence (AI) or automated decision-making (ADM) tools—is the subject of lively policy debates, heated advocacy, and mainstream media attention. Concerns have moved beyond data protection and individual due process to encompass a broader range of group-level harms such as discrimination and modes of democratic participation. While a welcome and long overdue shift, the current discourse ignores systems like databases, which are viewed as technically “rudimentary” and often siloed from regulatory scrutiny and public attention. Additionally, burgeoning regulatory proposals like algorithmic impact assessments are not structured to surface important –yet …